11/ Customer Objection Handler Use for: Sales call prep Prompt: “List the top 10 objections from [target persona] about buying [product]. Give a rebuttal for each, based on logic + emotion.”
LLMS
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Using LLM Prompts for Rapid Startup Idea Validation
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4/ Idea Validation Report Use for: Testing if your idea is dumb—fast Prompt: “Validate this startup idea: [insert idea]. Include market size, top 3 competitors, current demand signals, and possible monetization.”
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Using AI Prompts for Market Analysis and SWOT Generation
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2/ Market Analysis Generator
— God of Prompt (@godofprompt) 25 mars 2025
Use for: Quick competitor breakdowns
Prompt:
“Analyze [Company Name]’s business model, strengths, weaknesses, opportunities, and threats. Present it as a SWOT matrix.” pic.twitter.com/VwVeaoFfMn2/ Market Analysis Generator Use for: Quick competitor breakdowns Prompt: “Analyze [Company Name]’s business model, strengths, weaknesses, opportunities, and threats. Present it as a SWOT matrix.”
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Using AI Prompts to Efficiently Summarize and Analyze Research Papers
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1/ Research Summarizer (w/ bias detection)
— God of Prompt (@godofprompt) 25 mars 2025
Use for: Skimming 50-page papers in 30 seconds
Prompt:
“Summarize this research paper in 5 bullet points. Highlight any potential bias, funding sources, or limitations in the study. Use plain English.” pic.twitter.com/ZMz1w3nPt21/ Research Summarizer (w/ bias detection) Use for: Skimming 50-page papers in 30 seconds Prompt: “Summarize this research paper in 5 bullet points. Highlight any potential bias, funding sources, or limitations in the study. Use plain English.”
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20 Practical Tasks to Automate with DeepSeek
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DeepSeek has 61.81 million monthly active users worldwide. But most people don't know how to use it. Here are 20 tasks you can automate with it and unlock its full potential:
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Video Generation Models Leverage Inference Compute for Quality
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If a video generation model is allowed to use a non-trivial amount of inference-time compute, how much can it improve generation quality for challenging text prompts?
This is exactly what a new paper from Tsinghua University explores. -
Alibaba Qwen2.5-VL-32B-Instruct: Advanced Vision-Language Model
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The Qwen team of Alibaba open-sourced Qwen2.5-VL-32B-Instruct, a new vision-language model —Features enhanced mathematical reasoning and visual capabilities
—Beats Qwen2-VL-72B, Mistral Small 3.1-24B, and GPT-4o-0513
—Apache 2.0 licensed -
DeepSeek V3-0324: Open-Source AI Model with Enhanced Math Capabilities
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DeepSeek released V3-0324, an updated version of its V3 non-reasoning AI
— Rowan Cheung (@rowancheung) 25 mars 2025
—A 641GB model but capable of running on high-end PCs
—Uses MoE, activating only 37B params/token and reducing compute
—Upgraded Math and Coding capabilities
—Open-source under MITpic.twitter.com/sskVI1tIFKDeepSeek released V3-0324, an updated version of its V3 non-reasoning AI —A 641GB model but capable of running on high-end PCs
—Uses MoE, activating only 37B params/token and reducing compute
—Upgraded Math and Coding capabilities
—Open-source under MIT -
Medium-Sized Questions in Neuroscience and AI
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On medium-sized questions in neuroscience https://
buff.ly/ezlHepe
#AI #MachineLearning #DeepLearning #LLMs #DataScience -
Qwen2.5-VL-32B-Instruct Released with RL Optimizations
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Qwen2.5-VL-32B-Instruct is here! Optimized with RL, it shows significant improvements in human preference and mathematical reasoning.